benthecoder/news-summarizer

1from newspaper import Article2from newspaper import Config3import nltk4nltk.download('punkt')5 6from transformers import pipeline7import gradio as gr8from gradio.mix import Parallel, Series9 10 11def extract_article_text(url):12  USER_AGENT = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:78.0) Gecko/20100101 Firefox/78.0'13  config = Config()14  config.browser_user_agent = USER_AGENT15  config.request_timeout = 1016 17  article = Article(url, config=config)18  article.download()19  article.parse()20  text = article.text21  return text22 23extractor = gr.Interface(extract_article_text, 'text', 'text')24summarizer = gr.Interface.load("huggingface/facebook/bart-large-cnn")25 26sample_url = [['https://www.technologyreview.com/2021/07/22/1029973/deepmind-alphafold-protein-folding-biology-disease-drugs-proteome/'],27              ['https://www.technologyreview.com/2021/07/21/1029860/disability-rights-employment-discrimination-ai-hiring/'],28              ['https://www.technologyreview.com/2021/07/09/1028140/ai-voice-actors-sound-human/']]29 30desc =  '''31        Let Hugging Face models summarize articles for you. 32        Note: Shorter articles generate faster summaries.33        This summarizer uses bart-large-cnn model by Facebook34        '''35 36iface = Series(extractor, summarizer, 37  inputs = gr.inputs.Textbox(38      lines = 2,39      label = 'URL'40  ),41  outputs = 'text',42  title = 'News Summarizer',43  theme = 'huggingface',44  description = desc,45  examples=sample_url)46 47iface.launch()